Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -27.6 * weight + 2820
This means that on average for every extra kilogram weight a rider loses -27.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SVORADA Ján | 76 |
| 4 | ANDREU Frankie | 77 |
| 990 | FONDRIEST Maurizio | 70 |
| 990 | SUNDERLAND Scott | 65 |
| 990 | EKIMOV Viatcheslav | 69 |
| 990 | GONTCHENKOV Alexander | 74 |
| 990 | SWART Steve | 74 |
| 990 | LEYSEN Bart | 75 |
| 990 | ALDAG Rolf | 75 |
| 990 | YATES Sean | 74 |
| 990 | HAMBURGER Bo | 58 |
| 990 | SERPELLINI Marco | 75 |
| 990 | DEN BAKKER Maarten | 71 |